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    Metabolic syndrome: What are the acknowledged markers, and how reliable are they?

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    Insulin resistance and its cluster of associated abnormalities, defined as the metabolic syndrome, are important coronary heart disease (CHD) risk factors. The report of the Adult Treatment Panel-III (ATP III) serves as a formal recognition of this, and the fact that approximately 25% of Western populations may be suffering from the untoward consequences of insulin resistance emphasizes the magnitude of the clinical problem. The aim of the definition of the metabolic syndrome based on ATP III criteria is to provide a tool able to identify insulin-resistant individuals, and it offers a pragmatic approach to the early identification of individuals at risk for CHD, with the potential benefit of a more aggressive lifestyle intervention and a more focused follow-up

    ADMA is independently related to flow-mediated vasodilation in subjects at low cardiovascular risk.

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    BACKGROUND: Increased plasma concentrations of asymmetric dimethylarginine (ADMA) contribute to impair endothelial function in patients with established cardiovascular disease (CVD) and/or individuals with clinical syndromes known to increase CVD. However, the impact of ADMA on endothelial function in apparently healthy individuals has not been determined. MATERIALS AND METHODS: To address this issue, we measured endothelial-dependent vasodilatation in response to forearm ischaemia (flow-mediated vasodilatation, FMD) in 111 non-smoking, healthy volunteers with low CVD risk by the Framingham risk equation. Measurements were also made of multiple anthropometric, metabolic, and dynamic variables related to FMD. l-arginine and its methylated derivates (ADMA and SDMA) were quantified by high-liquid pressure chromatography. RESULTS: After adjustment by gender, lower values for FMD were significantly associated with increases in plasma ADMA concentrations (anova linear trend by FMD tertiles, P < 0.05) as well as in brachial artery diameter (partial r = -0.352, P = 0.001), body mass index (-0.337, P = 0.001), fasting insulin (-0.368, P < 0.001) and high-sensitivity C-reactive protein (-0.283, P = 0.007) plasma concentrations, and with decreased HDL cholesterol (0.233, P = 0.026). Multiple linear regression analysis indicated that the only statistically significant predictors of FMD were brachial artery diameter (P < 0.001), ADMA (P < 0.05) and fasting plasma insulin (P < 0.001) concentrations. CONCLUSIONS: In conclusion, a significant relationship between increases in plasma ADMA concentration and lower values of FMD is not limited to patients with clinical syndromes related to CVD, but can also be seen in healthy subjects at low global CVD risk
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